Describe how data minimization, aggregation, retention, and access controls reduce risk while preserving a legitimate operational use.
The staffing forecast needs movement patterns, not person-by-person trails. What does the responsible redesign change? Before: raw trails answer the question by exposing too much. After: aggregate counts keep the signal and cut the exposure. The input changed from raw person-level trails to hourly zone counts. The forecast needed demand patterns, not individual movement histories. The workspace changed from a shared notebook to restricted access. Minimization fails if a lower-risk dataset is still broadly exposed. The lifecycle changed from open-ended storage to a retention timer. Responsible use includes deciding when the data stops being needed. The purpose changed from implicit…
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